Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking .
See also: AWS API Documentation
Request Syntax
response = client.add_association( SourceArn='string', DestinationArn='string', AssociationType='ContributedTo'|'AssociatedWith'|'DerivedFrom'|'Produced' )
- Parameters
- SourceArn (string) --
[REQUIRED]
The ARN of the source.
- DestinationArn (string) --
[REQUIRED]
The Amazon Resource Name (ARN) of the destination.
- AssociationType (string) --
The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions on their use.
- ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, the training data contributed to the training job.
- AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with a model deployment.
- DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input for a processing job is derived from the original inputs.
- Produced - The source generated the destination. For example, a training job produced a model artifact.
- SourceArn (string) --
- Return type
dict
- Returns
Response Syntax
{ 'SourceArn': 'string', 'DestinationArn': 'string' }
Response Structure
(dict) --
SourceArn (string) --
The ARN of the source.
DestinationArn (string) --
The Amazon Resource Name (ARN) of the destination.
Exceptions
- SageMaker.Client.exceptions.ResourceNotFound
- SageMaker.Client.exceptions.ResourceLimitExceeded